Detection of Malarial Parasite in Blood using Image Processing

Abstract

Malaria may be a terribly serious communicable illness brought on by a Plasmodium-genus peripheral blood parasite. Conventional research, which is currently "the gold standard" for identifying protozoal infections, has frequently been found to be ineffective because it takes too long and produces difficult-to-breed results. Automation of the analytical process is crucial due to the enormous threat it presents to global health. In this study, a reliable, quick, and reasonably priced method for identifying protozoal infections using images of stained thin blood smears was created. Erythrocytes and Plasmodium parasite intensity choices were used to design the method. Non-heritable, pre-processed images of infected and uninfected erythrocytes had pertinent alternatives taken from them, and finally identification was made to support the options recovered from the images.